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Why did so many languages copy async/await from C#? Anders Hejlsberg(Anders Hejlsberg) - creator of TypeScript, C# & Turbo Pascal - on what they got right with the design: #1 - async/await was designed to solve a common problem in the event-loop model: "A lot of languages are built... around cooperative multitasking in the sense that they have an event loop that sits and dispatches events. Then you handle the event and then you yield back to the event handler loop. And it all runs in a single thread cooperatively. The problem with that is if you then want to do some long running work: how do I stop in the middle of this piece of long running work and yield back to the event loop cooperatively? And then when my result is ready, I can come back and continue executing here." #2 - state machines are the solution, but hard to build: "Well, in order to do that in an inverted architecture like that, you have to build a state machine. State machines are notoriously hard for people to implement because you've got to move all of your state off of the stack into objects. And then you have this big case statement that envelopes your entire logic. It's a nightmare to figure out. But, the transformation from serially executing code into a state machine, its continuation-passing-style translation is actually one that you can do in a machine-based fashion." #3 - compilers are good at writing state machines: "You can have the compiler write the state machine if you introduce syntax that allows you to indicate where you want to yield. And that's what await is. Await is basically saying, I want to yield here, and I want to yield this promise, and then when the promise completes, I want you to come back here and continue executing. Then the compiler writes a state machine around it and it actually turns it into this big switch statement and moves all of the state that survives across the await into something that's heap allocated. So it can be brought back. And doing all of that work is something that compilers are great at. And so that was sort of the idea that we have this new style of programming where we're using promises or the equivalent of promises and the ability to yield and then we have callbacks. But trying to write your program in that style, that's also what JavaScript suffered from a lot. It's like all this callback style stuff. With Async and Await, you get the illusion that you're just writing normal sequential code and then the compiler does the painful transformation for you. That turns out to be really useful."show more

The Pragmatic Engineer

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13,258 次观看 • 24 天前 •via X (Twitter)

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LeBron James explains what it takes to make a relationship last “It's not a bed of roses. If you're thinking that the roses don't come with thorns, then you're kidding yourself” “You've got to take the good with the bad, the great with the ugly. It's all part of a relationship and if you want to build with somebody, then you have to be able to do that” “I understand that we all want to be in relationships when we're laughing and we're joking and we're smiling and everybody's happy and everything is easy” “But can you stand the rain? Because it's not going to be a bed of roses. If you can accept that, then you can get through it”

LeBron James explains what it takes to make a relationship last “It's not a bed of roses. If you're thinking that the roses don't come with thorns, then you're kidding yourself” “You've got to take the good with the bad, the great with the ugly. It's all part of a relationship and if you want to build with somebody, then you have to be able to do that” “I understand that we all want to be in relationships when we're laughing and we're joking and we're smiling and everybody's happy and everything is easy” “But can you stand the rain? Because it's not going to be a bed of roses. If you can accept that, then you can get through it”

Jack

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I asked Luke Kornet about his memories from stretches where he was a DNP for many games in a row, and what his message is to the young guys who find themselves in that position now: “It's just a lot of peace to come to life of accepting the position that you're in and then just doing the best with that, versus trying to fight it and want to be in a different one.” “You can spend a lot of time worrying about things that you can't really control. But when you just take the opportunity that you have and do the best with that, you can have days like today where a lot of guys came in and were able to contribute. You can have peace about knowing that you did your job well, just as you did the day before, the day after. It might just look a different way every time. I feel like that's what I've been taught through my life. That's the only thing attitude that you can have that you can actually do something with – versus trying to control things that are outside of what you can control.”

I asked Luke Kornet about his memories from stretches where he was a DNP for many games in a row, and what his message is to the young guys who find themselves in that position now: “It's just a lot of peace to come to life of accepting the position that you're in and then just doing the best with that, versus trying to fight it and want to be in a different one.” “You can spend a lot of time worrying about things that you can't really control. But when you just take the opportunity that you have and do the best with that, you can have days like today where a lot of guys came in and were able to contribute. You can have peace about knowing that you did your job well, just as you did the day before, the day after. It might just look a different way every time. I feel like that's what I've been taught through my life. That's the only thing attitude that you can have that you can actually do something with – versus trying to control things that are outside of what you can control.”

Noa Dalzell 🏀

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AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

The Pragmatic Engineer

39,011 次观看 • 1 个月前

Jack Dorsey on becoming a better storyteller: "I found myself very early on thinking about something like thinking about this early idea for Twitter and saying to myself, I could build this awesome. You have those shower-like moments, or you're walking at midnight in some town in New York City, and you've got these amazing brand ideas. And then you start thinking, well, I could really start doing this if only X and if I had this person or if this technology existed or if this happened or this happened. And what I realized was that I was constantly making excuses for not working on it. And then the window had passed, and then I couldn't do anything. So I think it's really, really important to write it out or to draw it out or to code it. But you need to get it out of your head. And the reason you have to get it out of your head is that you need to be able to see it on a surface that is not in your mind. And once you can see it, and once you can step back from it, then you can also decide this passes my filter, my constraints, so maybe I can show it and share it with some other people. And then they will be like that's the stupidest idea ever and or that's somewhat interesting, but maybe this and this and this. So the sooner you can do that, then you have a lot of momentum around it, and you can really decide if you want to commit to it and work on it more or put it on the shelf for a later date. And the realization that I think everyone needs to have about that latter option, putting it on the shelf, is that you can come back to it and it will surface back up in another piece of work or another idea at some point in your life. So having that ability to close off a chapter and move on is really, really important. You can't have all these open threads, and that's what I realized I was doing. And that also encouraged me to really write more and to really think about what's the story? How are people coming to this? And like when I show my friends this, how are they going to react and I would write it down. I would actually treat it like a play. And when I realized that I was writing plays, I read a lot more plays for style and for substance and for technique and I think it's really good. I think there is another company that I have always looked towards for inspiration and I know a number of people in this room probably have a similar company in mind, which is Apple. Apple, I think, is run like a theater company. It has a great sense of pacing, has a great sense of story and has a great sense of execution and it's all about event-driven, it's all stage-driven, the stage being a billboard or the stage being a keynote or the stage being a product launch. All of it has a very, very cohesive end-to-end story. I mean you think about what happened when Steve Jobs came back to the company. The first thing he did was kill every product line the company was working on. And for two years,rs they had no product on the market whatsoever. All they had were a bunch of posters all around the world with Steve Jobs' heroes, and it said, think different. And it was just focused on bringing up the brand and making people aware of the brand again and how the brand is aligning to this particular feeling and story. And then they came out with the iMac and then built iTunes and then the iPod, and they realized that, wait a minute, people are carrying music on their phones now, so we better build a phone, an iPhone. And so this unfolding of the plot and the epic story has been very, very interesting to watch, especially if you look back to that time when he came back to the company. So I've learned a lot from that company and other companies that operate in a similar fashion."

Founder Mode

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.Second Lady Usha Vance responds to a student's question about how to be the best Second Lady: "I think they key thing, for anyone who is in this kind of role, is to try to just continue to be yourself. You have to do the best job that you can. And there are some responsibilities that come with it...you don't always choose what you are doing...But the most important thing is to remember the kind of person that you were before it, and the kind of person you want to be. If you can do that all the way through, then you can have a lot of fun — and maybe be helpful. You don't want to just start thinking of yourself as the Second Lady, because then you're probably not that fun a person anymore."

.Second Lady Usha Vance responds to a student's question about how to be the best Second Lady: "I think they key thing, for anyone who is in this kind of role, is to try to just continue to be yourself. You have to do the best job that you can. And there are some responsibilities that come with it...you don't always choose what you are doing...But the most important thing is to remember the kind of person that you were before it, and the kind of person you want to be. If you can do that all the way through, then you can have a lot of fun — and maybe be helpful. You don't want to just start thinking of yourself as the Second Lady, because then you're probably not that fun a person anymore."

Mary Margaret Olohan

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KIDS: When you lose the puck, how hard are you willing to work to get it back? As a coach, I want you to make plays. I want you to be creative. I want you to play with no fear of making mistakes. The only stipulation I have is that when you try to make a play and you turn it over, you have to work like hell to get it back. Here's a great example from a team that MAKES A LOT OF PLAYS. Tampa turns it over in the Ozone and then watch the effort from the players to get it back. Hounds. They create another turnover and then get rewarded in transition. Coaches, amazing clip to show your teams!!

Topher Scott

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TypeScript was inspired by a strange ask from the outlook team. Anders Hejlsberg(Anders Hejlsberg) - creator of C#, TypeScript, Turbo Pascal & Delphi - tells us how TypeScript was born: “The world started building larger and larger applications in JavaScript. We saw that externally, but also internally. One of the trigger events was when the outlook team came to see the C# team and asked us whether we would pretty please productize this thing called Script#. And we go, well, what is Script#? It's this cross compiler that allows you to cross compile C# into JavaScript such that you can basically treat JavaScript as an instruction language and run your C# apps in a browser. Why would anyone want to do that? Well, because then you can get a grownup programming language with grownup tooling. You can use Visual Studio, you can have projects. You can do all of these wonderful things that you can't do with JavaScript because JavaScript is just the scripting language with shitty tooling. And we thought, well, perhaps a better approach would be to fix JavaScript. I mean, surely you're not going to be best of breed in the JavaScript ecosystem by telling people to write in a different programming language”

TypeScript was inspired by a strange ask from the outlook team. Anders Hejlsberg(Anders Hejlsberg) - creator of C#, TypeScript, Turbo Pascal & Delphi - tells us how TypeScript was born: “The world started building larger and larger applications in JavaScript. We saw that externally, but also internally. One of the trigger events was when the outlook team came to see the C# team and asked us whether we would pretty please productize this thing called Script#. And we go, well, what is Script#? It's this cross compiler that allows you to cross compile C# into JavaScript such that you can basically treat JavaScript as an instruction language and run your C# apps in a browser. Why would anyone want to do that? Well, because then you can get a grownup programming language with grownup tooling. You can use Visual Studio, you can have projects. You can do all of these wonderful things that you can't do with JavaScript because JavaScript is just the scripting language with shitty tooling. And we thought, well, perhaps a better approach would be to fix JavaScript. I mean, surely you're not going to be best of breed in the JavaScript ecosystem by telling people to write in a different programming language”

The Pragmatic Engineer

115,602 次观看 • 1 个月前

THE MOST IMPORTANT Q&A OF MEDIA DAY. Mariana: You came from a very solid weekend on top of everything, but at the same time, it seems that you don't feel that the team is listening to you. Am I right? And how do you balance that? Lewis: I feel like we're going in the right direction. Rome wasn't built in one day, so it takes time to build. For me, coming into the team, I wanted to be respectful of the way they've done things in the past and just to really observe and see where our strengths and where our weaknesses are and to highlight where our weaknesses are and areas that we need to work on. But I do feel that they've been responding. I think you're starting to see, hopefully, some of the impact of the work that we're doing in the background and also into next year's car. This is a car that I've had nothing to do with in terms of developing this car over the years. Hopefully, from next year, my input goes into that car, and that will be a car that I've hopefully been a part of or will have been a part of developing. But I think we've got a really great rapport. I think we're really progressing, particularly since the summer break. I think things have started to get better, and it's all just about building trust and communication. Also, I'm coming into a team that English is not the first language, and I don't speak Italian, so it's finding a common ground. And the fact is we all want to win. We're all here to achieve the same thing, and we've got to just keep pushing. So that's why I'm trying to keep everyone motivated on difficult weekends, trying to keep everyone lifted up. But there have been many, many things we've changed this year that I suggested that they hadn't done in the past, and so they have been listening. It doesn't change straight away, just like that. It takes time to build. And as engineers, they really need proof. They need numbers. That's what they work on. So you have to sometimes push to get certain changes to be made, and then when you change it and then it works, you're like, okay. Mariana: That's what I was talking about.. Lewis: Yeah! - F1 2025 Mexico -

THE MOST IMPORTANT Q&A OF MEDIA DAY. Mariana: You came from a very solid weekend on top of everything, but at the same time, it seems that you don't feel that the team is listening to you. Am I right? And how do you balance that? Lewis: I feel like we're going in the right direction. Rome wasn't built in one day, so it takes time to build. For me, coming into the team, I wanted to be respectful of the way they've done things in the past and just to really observe and see where our strengths and where our weaknesses are and to highlight where our weaknesses are and areas that we need to work on. But I do feel that they've been responding. I think you're starting to see, hopefully, some of the impact of the work that we're doing in the background and also into next year's car. This is a car that I've had nothing to do with in terms of developing this car over the years. Hopefully, from next year, my input goes into that car, and that will be a car that I've hopefully been a part of or will have been a part of developing. But I think we've got a really great rapport. I think we're really progressing, particularly since the summer break. I think things have started to get better, and it's all just about building trust and communication. Also, I'm coming into a team that English is not the first language, and I don't speak Italian, so it's finding a common ground. And the fact is we all want to win. We're all here to achieve the same thing, and we've got to just keep pushing. So that's why I'm trying to keep everyone motivated on difficult weekends, trying to keep everyone lifted up. But there have been many, many things we've changed this year that I suggested that they hadn't done in the past, and so they have been listening. It doesn't change straight away, just like that. It takes time to build. And as engineers, they really need proof. They need numbers. That's what they work on. So you have to sometimes push to get certain changes to be made, and then when you change it and then it works, you're like, okay. Mariana: That's what I was talking about.. Lewis: Yeah! - F1 2025 Mexico -

sim

170,303 次观看 • 8 个月前

Pavel Durov on why he hasn't had depression in 20 years: "I normally never have depression. I don't remember having depression in the last 20 years, at least maybe when I was a teenager." Pavel's approach to difficult emotions is completely counterintuitive. As he puts it: "I'm a human being like everybody else. I do get to experience emotions and some of them are not very pleasant. But I believe that it's the responsibility of every one of us to cope with these emotions and to learn to work through them." On what creates depression: "Self-discipline is particularly important because without it, how can you overcome this seemingly endless loop of negativity or despair that ultimately leads to depression for some people?" His method: "One of the reasons I don't have depression is I start doing things. I identify the problem, I can see a solution, and I start executing the strategy. If you are stuck in this loop of being worried about something, nothing's ever going to change." The mistake people make: "People often make this mistake thinking 'Oh, I should just have some rest and then regain energy.' This is not how it works. You gain energy by doing something. So you start doing something, then it happens. You feel motivated, you feel inspired, and then ultimately you do something else a little bit more." He continues: "The whole point is to do first and then feel, not feel and then do. Going to the gym is a good example. There are many days when you don't want to start working out. But you have to overcome this initial reluctance and then you get to a point that you enjoy it and you think 'Oh my god, it was such a good idea to come to gym today.'" Action creates energy, not the other way around.

Pavel Durov on why he hasn't had depression in 20 years: "I normally never have depression. I don't remember having depression in the last 20 years, at least maybe when I was a teenager." Pavel's approach to difficult emotions is completely counterintuitive. As he puts it: "I'm a human being like everybody else. I do get to experience emotions and some of them are not very pleasant. But I believe that it's the responsibility of every one of us to cope with these emotions and to learn to work through them." On what creates depression: "Self-discipline is particularly important because without it, how can you overcome this seemingly endless loop of negativity or despair that ultimately leads to depression for some people?" His method: "One of the reasons I don't have depression is I start doing things. I identify the problem, I can see a solution, and I start executing the strategy. If you are stuck in this loop of being worried about something, nothing's ever going to change." The mistake people make: "People often make this mistake thinking 'Oh, I should just have some rest and then regain energy.' This is not how it works. You gain energy by doing something. So you start doing something, then it happens. You feel motivated, you feel inspired, and then ultimately you do something else a little bit more." He continues: "The whole point is to do first and then feel, not feel and then do. Going to the gym is a good example. There are many days when you don't want to start working out. But you have to overcome this initial reluctance and then you get to a point that you enjoy it and you think 'Oh my god, it was such a good idea to come to gym today.'" Action creates energy, not the other way around.

Jaynit

547,156 次观看 • 6 个月前

Rich Roll on why waiting to "feel like it" is a trap: "You can't think your way into the mood that you seek or the state of mind that you aspire to inhabit. Action is the only thing that can trigger that change." Rich uses running as the perfect illustration of this principle. Imagine you wake up in the morning and you're supposed to do a run because you're training for a race. You don't feel like it. So what do most of us do? "We all resort to that state where we think, 'Well, I don't want to do it right now. I'll just wait until I feel like doing it and then I'll do it then.'" But here's the problem with that logic: "If you're waiting until you feel like doing something, chances are you're probably never going to get to it." The mood you're hoping will arrive on its own? It's not coming. Not without action first. "To take the action despite how you feel about it is the thing that catalyzes the state change." You don't run because you feel motivated. You feel motivated because you ran. He points to what every runner knows from experience: "When they finish the run, they're always glad that they did it. They don't generally regret it. And then they feel better." Notice the sequence. The good feeling comes after the action, not before it. The state change is the reward for showing up, not the prerequisite. And this isn't just about running. As Rich puts it: "That example is applicable to all areas of life." The workout you're avoiding. The conversation you're delaying. The project you're putting off until you're "in the right headspace." You're waiting for a feeling that only exists on the other side of doing the thing.

Rich Roll on why waiting to "feel like it" is a trap: "You can't think your way into the mood that you seek or the state of mind that you aspire to inhabit. Action is the only thing that can trigger that change." Rich uses running as the perfect illustration of this principle. Imagine you wake up in the morning and you're supposed to do a run because you're training for a race. You don't feel like it. So what do most of us do? "We all resort to that state where we think, 'Well, I don't want to do it right now. I'll just wait until I feel like doing it and then I'll do it then.'" But here's the problem with that logic: "If you're waiting until you feel like doing something, chances are you're probably never going to get to it." The mood you're hoping will arrive on its own? It's not coming. Not without action first. "To take the action despite how you feel about it is the thing that catalyzes the state change." You don't run because you feel motivated. You feel motivated because you ran. He points to what every runner knows from experience: "When they finish the run, they're always glad that they did it. They don't generally regret it. And then they feel better." Notice the sequence. The good feeling comes after the action, not before it. The state change is the reward for showing up, not the prerequisite. And this isn't just about running. As Rich puts it: "That example is applicable to all areas of life." The workout you're avoiding. The conversation you're delaying. The project you're putting off until you're "in the right headspace." You're waiting for a feeling that only exists on the other side of doing the thing.

Kevin Tanaka

10,256 次观看 • 2 个月前

🚨#BREAKING - MARITIME LAW - Ok, this is epic, and it will blow your mind, if you don't even know it. Those who are awake will know. That's great and this is what we should share. So, your birth certificate is where it all begins. This is where much of the corruption begins. The moment you sign your BC, it is Maritime law. You are actually signing a form that classifies you as dead at sea. You become a commodity of the system and honestly you Google it, you research it and you probably have to be fair like I said, but it's true. You become um... In a sense, they seize all the assets and go into what they call a trust fund and then you have 6 years to declare yourself alive. Declare yourself still here and then you can regain your sovereignty. But we didn't know that. It was a system they had set up so that you and I and everyone else were traded like cattle on the stock market. So each of us has a trust fund. And depending on how old you are, it depends on how much money is there. So if you're over 50 or something, you've got millions in there because that's how long we've been traded for. And this is another thing that is also crazy. That's why the mortgage system is absolutely ruined. So when you go for a mortgage, you basically sign the papers and they always tell you, "come back in 3 days and we'll have the money." They then take that money out of their trust fund to pay for the house. So, that comes out of your trust fund in your name, which has been growing since you were born. They then charge you interest on your money, but they don't care about the monetary side. They want the house. So if you miss a payment, they'll miss out immediately, because they can repossess your house. For them the house is a commodity, an asset. Wait to share what the banks do, but this trust fund is where much of your money will come from and be returned to you. This is their money that they have earned from you. So, that's just one thing. Then you also have the tax side. Taxes have never been taken from us, it is illegal. It is a corrupt system. So, all the taxes that we pay, it is not that they are going to return them to us, like the exact amount of taxes that we paid. What I have heard on the channels is the fact that it will be bond based, so at a certain age you will get so much money back, at a certain age this... I think the 62+ category was like 110k or something like that. But obviously they'll know more about that when it comes, but that's where more money comes from. Honestly, you are ready to live a life of abundance. This is money that was ours, that should be ours, that we should have been living with to create a better life. Instead, they have put us in this corrupt system where they have been fighting and they are taking all of our money and keeping it for themselves. for themselves. I hope I have shed light on this. Many people ask where this abundance comes from. Remember that the 1% controlled 99% of the wealth that now comes back to us to live a completely different life. They will give us what is owed to us because we should never have fought like this. Join, it's not too late! 👇 ✅️

🚨#BREAKING - MARITIME LAW - Ok, this is epic, and it will blow your mind, if you don't even know it. Those who are awake will know. That's great and this is what we should share. So, your birth certificate is where it all begins. This is where much of the corruption begins. The moment you sign your BC, it is Maritime law. You are actually signing a form that classifies you as dead at sea. You become a commodity of the system and honestly you Google it, you research it and you probably have to be fair like I said, but it's true. You become um... In a sense, they seize all the assets and go into what they call a trust fund and then you have 6 years to declare yourself alive. Declare yourself still here and then you can regain your sovereignty. But we didn't know that. It was a system they had set up so that you and I and everyone else were traded like cattle on the stock market. So each of us has a trust fund. And depending on how old you are, it depends on how much money is there. So if you're over 50 or something, you've got millions in there because that's how long we've been traded for. And this is another thing that is also crazy. That's why the mortgage system is absolutely ruined. So when you go for a mortgage, you basically sign the papers and they always tell you, "come back in 3 days and we'll have the money." They then take that money out of their trust fund to pay for the house. So, that comes out of your trust fund in your name, which has been growing since you were born. They then charge you interest on your money, but they don't care about the monetary side. They want the house. So if you miss a payment, they'll miss out immediately, because they can repossess your house. For them the house is a commodity, an asset. Wait to share what the banks do, but this trust fund is where much of your money will come from and be returned to you. This is their money that they have earned from you. So, that's just one thing. Then you also have the tax side. Taxes have never been taken from us, it is illegal. It is a corrupt system. So, all the taxes that we pay, it is not that they are going to return them to us, like the exact amount of taxes that we paid. What I have heard on the channels is the fact that it will be bond based, so at a certain age you will get so much money back, at a certain age this... I think the 62+ category was like 110k or something like that. But obviously they'll know more about that when it comes, but that's where more money comes from. Honestly, you are ready to live a life of abundance. This is money that was ours, that should be ours, that we should have been living with to create a better life. Instead, they have put us in this corrupt system where they have been fighting and they are taking all of our money and keeping it for themselves. for themselves. I hope I have shed light on this. Many people ask where this abundance comes from. Remember that the 1% controlled 99% of the wealth that now comes back to us to live a completely different life. They will give us what is owed to us because we should never have fought like this. Join, it's not too late! 👇 ✅️

GP Q

616,516 次观看 • 1 年前

MARITIME LAW Ok, this is epic, and it will blow your mind, if you don't even know it. Those who are awake will know. That's great and this is what we should share. So, your birth certificate is where it all begins. This is where much of the corruption begins. The moment you sign your BC, it is Maritime law. You are actually signing a form that classifies you as dead at sea. You become a commodity of the system and honestly you Google it, you research it and you probably have to be fair like I said, but it's true. You become um... In a sense, they seize all the assets and go into what they call a trust fund and then you have 6 years to declare yourself alive. Declare yourself still here and then you can regain your sovereignty. But we didn't know that. It was a system they had set up so that you and I and everyone else were traded like cattle on the stock market. So each of us has a trust fund. And depending on how old you are, it depends on how much money is there. So if you're over 50 or something, you've got millions in there because that's how long we've been traded for. And this is another thing that is also crazy. That's why the mortgage system is absolutely ruined. So when you go for a mortgage, you basically sign the papers and they always tell you, "come back in 3 days and we'll have the money." They then take that money out of their trust fund to pay for the house. So, that comes out of your trust fund in your name, which has been growing since you were born. They then charge you interest on your money, but they don't care about the monetary side. They want the house. So if you miss a payment, they'll miss out immediately, because they can repossess your house. For them the house is a commodity, an asset. Wait to share what the banks do, but this trust fund is where much of your money will come from and be returned to you. This is their money that they have earned from you. So, that's just one thing. Then you also have the tax side. Taxes have never been taken from us, it is illegal. It is a corrupt system. So, all the taxes that we pay, it is not that they are going to return them to us, like the exact amount of taxes that we paid. What I have heard on the channels is the fact that it will be bond based, so at a certain age you will get so much money back, at a certain age this... I think the 62+ category was like 110k or something like that. But obviously they'll know more about that when it comes, but that's where more money comes from. Honestly, you are ready to live a life of abundance. This is money that was ours, that should be ours, that we should have been living with to create a better life. Instead, they have put us in this corrupt system where they have been fighting and they are taking all of our money and keeping it for themselves. for themselves. I hope I have shed light on this. Many people ask where this abundance comes from. Remember that the 1% controlled 99% of the wealth that now comes back to us to live a completely different life. They will give us what is owed to us because we should never have fought like this.

MARITIME LAW Ok, this is epic, and it will blow your mind, if you don't even know it. Those who are awake will know. That's great and this is what we should share. So, your birth certificate is where it all begins. This is where much of the corruption begins. The moment you sign your BC, it is Maritime law. You are actually signing a form that classifies you as dead at sea. You become a commodity of the system and honestly you Google it, you research it and you probably have to be fair like I said, but it's true. You become um... In a sense, they seize all the assets and go into what they call a trust fund and then you have 6 years to declare yourself alive. Declare yourself still here and then you can regain your sovereignty. But we didn't know that. It was a system they had set up so that you and I and everyone else were traded like cattle on the stock market. So each of us has a trust fund. And depending on how old you are, it depends on how much money is there. So if you're over 50 or something, you've got millions in there because that's how long we've been traded for. And this is another thing that is also crazy. That's why the mortgage system is absolutely ruined. So when you go for a mortgage, you basically sign the papers and they always tell you, "come back in 3 days and we'll have the money." They then take that money out of their trust fund to pay for the house. So, that comes out of your trust fund in your name, which has been growing since you were born. They then charge you interest on your money, but they don't care about the monetary side. They want the house. So if you miss a payment, they'll miss out immediately, because they can repossess your house. For them the house is a commodity, an asset. Wait to share what the banks do, but this trust fund is where much of your money will come from and be returned to you. This is their money that they have earned from you. So, that's just one thing. Then you also have the tax side. Taxes have never been taken from us, it is illegal. It is a corrupt system. So, all the taxes that we pay, it is not that they are going to return them to us, like the exact amount of taxes that we paid. What I have heard on the channels is the fact that it will be bond based, so at a certain age you will get so much money back, at a certain age this... I think the 62+ category was like 110k or something like that. But obviously they'll know more about that when it comes, but that's where more money comes from. Honestly, you are ready to live a life of abundance. This is money that was ours, that should be ours, that we should have been living with to create a better life. Instead, they have put us in this corrupt system where they have been fighting and they are taking all of our money and keeping it for themselves. for themselves. I hope I have shed light on this. Many people ask where this abundance comes from. Remember that the 1% controlled 99% of the wealth that now comes back to us to live a completely different life. They will give us what is owed to us because we should never have fought like this.

Tp

440,100 次观看 • 2 年前

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

The Peel

51,632 次观看 • 4 个月前

This is actually extremely seriously Glenn Beck “The medical thing that they just passed in Washington state. They passed it, and the governor has signed it, and basically it says if there's an immediate medical emergency, we can do whatever we want to. You now, remember, this is the state that was talking about building little internment camps for people who wouldn't get vaccinated last time” “If you think that they won't do that, you're out of your mind. You're crazy. And so it says if the governor decides that there is a medical emergency, statewide emergency, I love this one, ‘based on scientific experts’ they will dictate what happens to every individual, what you have to get. If scientific experts tell you have to take this, you will be forced to take that.“ “If you're living in Washington state, may I just say. Get the hell out now. The entire state. Get out of the state, and I'm dead serious on that. You're living in a state that has gone absolutely insane.”

This is actually extremely seriously Glenn Beck “The medical thing that they just passed in Washington state. They passed it, and the governor has signed it, and basically it says if there's an immediate medical emergency, we can do whatever we want to. You now, remember, this is the state that was talking about building little internment camps for people who wouldn't get vaccinated last time” “If you think that they won't do that, you're out of your mind. You're crazy. And so it says if the governor decides that there is a medical emergency, statewide emergency, I love this one, ‘based on scientific experts’ they will dictate what happens to every individual, what you have to get. If scientific experts tell you have to take this, you will be forced to take that.“ “If you're living in Washington state, may I just say. Get the hell out now. The entire state. Get out of the state, and I'm dead serious on that. You're living in a state that has gone absolutely insane.”

Wall Street Apes

1,259,930 次观看 • 1 年前

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Mike

14,195 次观看 • 7 个月前

🚨 JUST IN: Matt Walsh says he wants the Right to work together and "DESTROY" leftist, anti-West ideology "If you're pushing that, then you're my ENEMY. You are my enemy, and I want to DESTROY your ideology. I want to destroy everything you stand for. That's what I want to do." 🔥 "But if you're against them, and that is to say you stand for American identity and for the sanctity of human life and the family and objective truth and reality, the church, faith - if you're on that side, then I consider you to be basically an ally, and we could disagree vehemently on a lot of other issues." "The divide, I think, ideologically in this country is so vast and so deep and so unbridgeable that we may as well be living in different universes. We may as well be aliens from different galaxies trying to live on a planet together, and it's just not working out. That's what it feels like." "For me, that's where the fight is. That's where I want the fight to remain." - Matt Walsh

🚨 JUST IN: Matt Walsh says he wants the Right to work together and "DESTROY" leftist, anti-West ideology "If you're pushing that, then you're my ENEMY. You are my enemy, and I want to DESTROY your ideology. I want to destroy everything you stand for. That's what I want to do." 🔥 "But if you're against them, and that is to say you stand for American identity and for the sanctity of human life and the family and objective truth and reality, the church, faith - if you're on that side, then I consider you to be basically an ally, and we could disagree vehemently on a lot of other issues." "The divide, I think, ideologically in this country is so vast and so deep and so unbridgeable that we may as well be living in different universes. We may as well be aliens from different galaxies trying to live on a planet together, and it's just not working out. That's what it feels like." "For me, that's where the fight is. That's where I want the fight to remain." - Matt Walsh

Eric Daugherty

129,223 次观看 • 7 个月前

ELON MUSK: "We're starting off with an advanced technology fab here in Austin, and I'd like to thank Greg Abbott and the state of Texas for the support. So in the advanced technology fab, we will have all of the equipment necessary to make a chip of any kind logical memory, and we will also have all of the equipment necessary to make the masks. So in a single building, we can create a mask, make the chip, test the chip, make another mask, and have an incredibly fast recursive loop for improving the chip design. To the best of my knowledge, this doesn't exist anywhere in the world. We're really going to push the limit of physics in compute, and we're going to try a bunch of wild and crazy things, which you can do if you've got that fast iteration loop that I can't emphasize enough the importance of being able to make it, to test it and and then make and then change the design, do another one, and have that in a single building."

ELON MUSK: "We're starting off with an advanced technology fab here in Austin, and I'd like to thank Greg Abbott and the state of Texas for the support. So in the advanced technology fab, we will have all of the equipment necessary to make a chip of any kind logical memory, and we will also have all of the equipment necessary to make the masks. So in a single building, we can create a mask, make the chip, test the chip, make another mask, and have an incredibly fast recursive loop for improving the chip design. To the best of my knowledge, this doesn't exist anywhere in the world. We're really going to push the limit of physics in compute, and we're going to try a bunch of wild and crazy things, which you can do if you've got that fast iteration loop that I can't emphasize enough the importance of being able to make it, to test it and and then make and then change the design, do another one, and have that in a single building."

DogeDesigner

16,950,279 次观看 • 3 个月前